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M

Cloud Engineer Cloud Engineer

Mindlance
  • πŸ‡ΊπŸ‡Έ United States
  • Hybrid
  • 10 hours ago
  • AWS
  • Azure
  • IaC
  • Terraform
  • CloudFormation
  • Ansible
  • Git
  • Python
  • Bash
  • Docker
  • Kubernetes
  • CI/CD
  • Devops
  • FinOps
  • Prometheus
  • Grafana
  • Splunk
  • CloudWatch
  • Azure Monitor
  • GxP
  • HIPAA
  • EKS
  • AKS
  • Agile
  • IAM
  • Secrets Management
  • Network Security
  • Design Systems
  • Identity Management
  • SOX
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Job TitleCloud Engineer
LocationIndianapolis, IN 46225 (Hybrid: 3 days in office)
Project Duration06 Months (Possible Extension)

(Only on W2 Assignment, No C2C or 1099)

Job Description:
  • The Cloud Engineer is responsible for designing, implementing, and maintaining secure, scalable, and reliable cloud-based solutions.
  • This role supports business objectives by optimizing cloud infrastructure, automating deployments, and ensuring compliance with security and performance standards.

BASIC QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Technology, or a related field β€” or equivalent professional experience.
  • 3 years of hands-on cloud engineering experience in a production enterprise environment (AWS and/or Azure required).
  • Demonstrated proficiency with infrastructure-as-code tools (Terraform, CloudFormation, Ansible, or equivalent) and version control (Git).
  • Proficiency in scripting languages (Python, Bash, or equivalent) for automation and tooling development.
  • Strong understanding of cloud networking, virtualization, containerization (Docker, Kubernetes), and cloud security principles.
  • Experience with CI/CD pipelines and DevOps practices in a cloud-native context.

PREFERRED QUALIFICATIONS:
  • AWS Certified Solutions Architect (Associate or Professional), AWS DevOps Engineer, or Azure Administrator/Architect certification strongly preferred.
  • Experience with FinOps practices and cloud cost optimization at enterprise scale.
  • Familiarity with monitoring and observability platforms (Prometheus, Grafana, Splunk, CloudWatch, Azure Monitor, or equivalent).
  • Experience in pharmaceutical, healthcare, life sciences, or other regulated industries β€” particularly with GxP, 21 CFR Part 11, or HIPAA cloud compliance requirements.
  • Experience with Kubernetes in production (EKS, AKS, or self-managed) including cluster operations and workload management.
  • Experience with Site Reliability Engineering or Agent Reliability Engineering
  • Background in working in a fast paced Agile environment
  • Background in cloud security architecture: IAM design, secrets management, network security groups, and cloud-native security tooling[MB1.1].

WHAT YOU SHOULD BRING:
  • Deep, hands-on cloud expertise β€” you build and operate production cloud infrastructure, and you hold yourself accountable for its reliability, security, and cost.
  • Infrastructure-as-code as a default practice: you write Terraform or equivalent as naturally as you use the cloud console, and you understand why that matters for consistency, auditability, and scale.
  • A security-conscious engineering mindset β€” you design with least privilege, defense in depth, and compliance requirements built in from the start, not retrofitted under pressure.
  • A cost-conscious approach: you care about what cloud resources cost, you design systems that deliver value without unnecessary spend, and you proactively surface optimization opportunities.
  • The communication skills to work effectively with developers who need platform guidance and business stakeholders who need to understand cloud investment decisions β€” and to adjust your language for each.

Responsibilities:
KEY RESPONSIBILITIES:
Cloud Architecture & Infrastructure
  • Design and deploy cloud architectures across AWS and/or Azure that meet performance, security, availability, and cost-efficiency requirements for a diverse portfolio of enterprise and research applications.
  • Architect and implement cloud networking, compute, storage, and identity constructs with security built in from the outset β€” applying least-privilege principles, network segmentation, encryption, and defense-in-depth across every layer.
  • Evaluate and recommend cloud services, architectural patterns, and infrastructure approaches; build evidence-based adoption cases that account for engineering capability, operational cost, and long-term platform sustainability.
Automation & Deployment
  • Implement and maintain infrastructure-as-code (IaC) frameworks using Terraform, CloudFormation, Ansible, or equivalent β€” making infrastructure provisioning repeatable, auditable, and developer-friendly.
  • Build and maintain CI/CD pipelines for cloud infrastructure and application deployments; ensure changes are tested, validated, and deployed safely with automated rollback capability.
  • Drive automation of operational tasks β€” patching, scaling, monitoring, alerting, and cost optimization β€” reducing manual intervention and improving platform reliability and response time.
Security & Compliance
  • Ensure cloud environments comply with Lilly's security standards, regulatory requirements, and data governance policies; implement and maintain controls for identity management, secrets management, audit logging, and encryption at rest and in transit.
  • Monitor cloud security posture continuously; identify and remediate misconfigurations, drift, and policy violations β€” integrating CSPM tooling into operational workflows for proactive compliance management.
  • Partner with Cybersecurity teams to align cloud platform security with enterprise threat models and applicable regulatory frameworks including GxP, 21 CFR Part 11, HIPAA, and SOX where relevant.
Optimisation & Operational Excellence
  • Monitor cloud environments for performance, availability, and cost efficiency; proactively identify waste, right-size resources, and drive FinOps practices that deliver cloud value without unnecessary spend.
  • Contribute to platform engineering standards, reference architectures, and guardrails that simplify how development teams consume cloud infrastructure correctly and consistently.
  • Troubleshoot and resolve cloud infrastructure issues with urgency and precision; contribute to post-incident analysis and implement preventive improvements that reduce recurrence.

Comments/Special Instructions:
This could be a hybrid position but 3 days in the office required.

EEO: β€œMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Cloud Engineer Cloud Engineer Β· Mindlance

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